End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [RogerB/afro-xlmr-large-kinte-domain-kinte-task](https://huggingface.co/RogerB/afro-xlmr-large-kinte-domain-kinte-task) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9121
-- F1: 0.6803
+- Loss: 0.9268
+- F1: 0.6910
 
 ## Model description
 
@@ -49,14 +49,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.9553        | 1.0   | 1013 | 0.7033          | 0.7093 |
-| 0.7532        | 2.0   | 2026 | 0.5574          | 0.7787 |
-| 0.6321        | 3.0   | 3039 | 0.5224          | 0.8074 |
+| 0.9124        | 1.0   | 1013 | 0.6422          | 0.7362 |
+| 0.7181        | 2.0   | 2026 | 0.5277          | 0.7920 |
+| 0.6082        | 3.0   | 3039 | 0.5014          | 0.8197 |
 
 
 ### Framework versions
 
 - Transformers 4.34.1
 - Pytorch 2.1.0+cu118
-- Datasets 2.14.5
+- Datasets 2.14.6
 - Tokenizers 0.14.1

config.json

@@ -11,16 +11,16 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 1024,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2"
+    "0": "positive",
+    "1": "neutral",
+    "2": "negative"
   },
   "initializer_range": 0.02,
   "intermediate_size": 4096,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2
+    "negative": 2,
+    "neutral": 1,
+    "positive": 0
   },
   "layer_norm_eps": 1e-05,
   "max_position_embeddings": 514,